Ron Blankstein, MD, professor of radiology, Harvard Medical School, explains the use of artificial intelligence to detect heart disease in non-cardiac CT exams.
Compared to standard hip-to-waist ratio measurements and BMI, the algorithm identifies significantly more instances of metabolic syndrome and its severity in individual patients.
When referring physicians agree with radiologists’ recommendations on the clinical necessity of follow-up imaging, three-quarters of patients go on to complete the additional exam.
After programming its EMR to automatically order ultrasound screenings for people at risk of abdominal aortic aneurysms (AAAs), a healthcare system saw a 540% spike in monthly screening exams for the condition over a six-year period.
Might mammography enhanced by contrast media prove a surer, faster way than other modalities—including digital breast tomosynthesis—to get to a definitive diagnosis for women with dense breast tissue? The American College of Radiology wants to know.
The adult brain may be more malleable than scientists previously thought, according to new research presented at the 35th European College of Neuropsychopharmacology.
Children are at heightened risk of major clinical depression when at least one parent has a history of the disorder. New research shows depression markers appearing on structural and functional brain MRI ahead of symptoms in these “familial risk” offspring from infancy through early adulthood.
An AI startup in the neuro-oncology space has received the government’s go-ahead to market software for analyzing certain fast-growing brain tumors on MRI.
The nuclear imaging isotope shortage of molybdenum-99 may be over now that the sidelined reactor is restarting. ASNC's president says PET and new SPECT technologies helped cardiac imaging labs better weather the storm.
CMS has more than doubled the CCTA payment rate from $175 to $357.13. The move, expected to have a significant impact on the utilization of cardiac CT, received immediate praise from imaging specialists.
